Server-side Adaptive Federated Learning over Wireless Mesh Network-Reference-Cited by-同舟云学术

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Server-side Adaptive Federated Learning over Wireless Mesh Network

Published:2023 Issue: Volume: Page:289-298
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Freitag Felix,Wei Lu,Liu Chun-Hung,Selimi Mennan,Veiga Luís

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-33261-6_25

Reference12 articles.

1. Yang Q, Liu Y, Chen T, Tong Y (2019) Federated machine learning: concept and applications. ACM Trans. Intell. Syst. Technol. 10(2):1–9

2. Niknam S, Dhillon HS, Reed JH (2020) Federated learning for wireless communications: motivation, opportunities, and challenges. IEEE Commun Mag 58(6):46–51

3. Ibraimi L, Selimi M, Freitag F (2021) Bepoch: Improving federated learning performance in resource-constrained computing devices. In: IEEE Global Communications Conference (GLOBECOM)

4. Freitag F, Vilchez P, Wei L, Liu CH, Selimi M (2022) Performance evaluation of federated learning over wireless mesh networks with low-capacity devices. In: Rocha Á, Ferrás C, Méndez Porras A, Jimenez Delgado E (eds) Information Technology and Systems. Springer International Publishing, Cham, pp 635–645

5. Llisterri Giménez N, Monfort Grau M, Pueyo Centelles R, Freitag F (2022) On-device training of machine learning models on microcontrollers with federated learning. Electronics 11(4):573

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1. Integrating a Neural Network Library in Embedded Federated Learning;2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2023-11-21

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